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Walnut Grove, California short-term rental listings & supply

Updated By The AirDNA Data Team

Walnut Grove, California has 41 active short-term rental listings, tracked across Airbnb, Vrbo, and Booking.com.

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Total active listings
41
-16.3% YoY
Most popular size
1BR
51.2% of all active listings
AirDNA tracks daily performance across 10M+ Airbnb, Vrbo, and Booking.com listings in 120K+ global markets. How we collect this data →10M+ listings across Airbnb, Vrbo & Booking.com in 120K+ markets. How we collect →

Walnut Grove, California short-term rental listings

Walnut Grove has 41 active short-term rental listings as of July 2026, tracked across Airbnb, Vrbo, and Booking.com. Active supply is down 16.3% from July 2025 to July 2026. Here's how the market breaks down:

  • By property type: 85.4% entire homes, 14.6% private rooms.
  • By size: 51.2% 1-bedroom, 19.5% 2-bedroom, 14.6% 3-bedroom, 12.2% 5+ bedroom, and 2.4% 4-bedroom.
  • By channel: 68.3% Airbnb-only, 26.8% cross-listed and 4.9% Vrbo-only.
  • By availability: 68.3% full-time (271–365), 22% most of year (181–270) and 9.8% part-time (91–180 nights).
  • By minimum stay: 61% 30+ nights, 31.7% 2 nights and 7.3% 3 nights.
  • By cancellation policy: 67.9% moderate, 32.1% flexible.
44
Rental demand score
Full Walnut Grove market overview How Market Score is calculated
Analyst's take

Walnut Grove's Rental Demand score: 44 out of 100.

Walnut Grove's Rental Demand subscore is 44 out of 100, one of five inputs to its overall Market Score of 46.

Rental Demand combines two inputs: annual occupancy (27% in Walnut Grove) and year-over-year listing growth (active supply down 16.3% from July 2025 to July 2026).

It is benchmarked against other short-term rental markets in the same country with at least 15 active listings.

The Market Score is a starting point, not an investment decision.

Market-level averages hide wide variation. Here's how to go deeper in the app:

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  3. 3Estimate one addressProject what one specific property can earn with a custom comp set built from its exact specs.
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Key definitions

How AirDNA defines these metrics

Active listings
Active listings are the short-term rentals on Airbnb, Vrbo, and Booking.com that were available or booked in the trailing 12 months. AirDNA de-duplicates the same home across channels, and the count refreshes monthly.How AirDNA counts active listings →
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Active listings over timeIllustrative preview

How Walnut Grove's active short-term rental supply has trended over the past year.

Oct '25Dec '25Feb '26Apr '26Jun '26Aug '26
See Walnut Grove's month-by-month supply trend in the AirDNA app.

Listing mix

Four ways to slice Walnut Grove's 41 listings

Property type

Entire home leads at 85.4%

  • Entire home85.4%
  • Private room14.6%

Bedrooms

1BR leads at 51.2%

  • 1BR51.2%
  • 2BR19.5%
  • 3BR14.6%
  • 4BR2.4%
  • 5BR+12.2%

Channel

Airbnb only leads at 68.3%

  • Airbnb only68.3%
  • Vrbo only4.9%
  • Multi-platform26.8%

Availability

Full-time (271–365) leads at 68.3%

  • Part-time (91–180 nights)9.8%
  • Most of year (181–270)22%
  • Full-time (271–365)68.3%

Listings by minimum stay

Share of Walnut Grove active supply by host-set minimum stay

2 nights
31.7%
3 nights
7.3%
30+ nights
61%

Listings by cancellation policy

Share of Walnut Grove active supply by host cancellation policy

Flexible
32.1%
Moderate
67.9%

This is the tip of the iceberg

Go deeper on Walnut Grove supply in the app.

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Keep digging into Walnut Grove

Walnut Grove market overview

The full Walnut Grove market: 41 listings, $10.2K average revenue, 27% occupancy, $256 ADR. Topline metrics and the AirDNA Market Score.

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Revenue

Annual earnings, revenue by property type, and daily rates by segment.

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Seasonality

Occupancy, RevPAR, peak and trough months, seasonality score.

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Property Managers

The largest property managers operating in Walnut Grove.

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Explore more markets

Other short-term rental markets in California

Frequently asked

Common questions about Walnut Grove

Get more in the app

There's a lot more inside the AirDNA app.

  • Custom comp sets
  • Neighborhood data
  • Deep filters
  • Heat maps
  • For Sale by yield
  • Export the data
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